Zobrazeno 1 - 10
of 14 142
pro vyhledávání: '"Prahlad"'
Autor:
Kuelker, Michael, Prahlad, Anand
Publikováno v:
African American Review, 2009 Dec 01. 43(4), 655-660.
Externí odkaz:
https://www.jstor.org/stable/41328663
Autor:
Sur, Malini1 m.sur@westernsydney.edu.au, Sen, Atreyee2
Publikováno v:
Contemporary South Asia. Dec2020, Vol. 28 Issue 4, p498-510. 13p.
Control system optimization has long been a fundamental challenge in robotics. While recent advancements have led to the development of control algorithms that leverage learning-based approaches, such as SafeOpt, to optimize single feedback controlle
Externí odkaz:
http://arxiv.org/abs/2411.07573
Autor:
Chakraborty, Nilanjan, Kasthurirangan, Prahlad Narasimhan, Mitchell, Joseph S. B., Nguyen, Linh, Perk, Michael
Assume that a target is known to be present at an unknown point among a finite set of locations in the plane. We search for it using a mobile robot that has imperfect sensing capabilities. It takes time for the robot to move between locations and sea
Externí odkaz:
http://arxiv.org/abs/2410.06069
Publikováno v:
FRPT - Advertising Snapshot. 2/8/2024, p24-24. 2/3p.
Controller tuning and optimization have been among the most fundamental problems in robotics and mechatronic systems. The traditional methodology is usually model-based, but its performance heavily relies on an accurate mathematical system model. In
Externí odkaz:
http://arxiv.org/abs/2408.16307
Autor:
Epili, Prahlad R., Wang, Wei
We report the timing and spectral studies of the accreting X-ray pulsar 4U 2206+54 using astrosat and hxmt observations taken in 2016 and 2020 respectively. X-ray pulsations from the system are detected by both missions. The astrosat discovered a sig
Externí odkaz:
http://arxiv.org/abs/2408.15156
Secure multiparty computation enables the joint evaluation of multivariate functions across distributed users while ensuring the privacy of their local inputs. This field has become increasingly urgent due to the exploding demand for computationally
Externí odkaz:
http://arxiv.org/abs/2408.05629
This study aims to learn a translation from visible to infrared imagery, bridging the domain gap between the two modalities so as to improve accuracy on downstream tasks including object detection. Previous approaches attempt to perform bi-domain fea
Externí odkaz:
http://arxiv.org/abs/2408.01843